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Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System

IMPORTANCE: Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking. OBJECTIVE: To compare the complexity of patients seen by different types of physician in a universal health care system. DESIGN, SETTING,...

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Autores principales: Tonelli, Marcello, Wiebe, Natasha, Manns, Braden J., Klarenbach, Scott W., James, Matthew T., Ravani, Pietro, Pannu, Neesh, Himmelfarb, Jonathan, Hemmelgarn, Brenda R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324421/
https://www.ncbi.nlm.nih.gov/pubmed/30646392
http://dx.doi.org/10.1001/jamanetworkopen.2018.4852
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author Tonelli, Marcello
Wiebe, Natasha
Manns, Braden J.
Klarenbach, Scott W.
James, Matthew T.
Ravani, Pietro
Pannu, Neesh
Himmelfarb, Jonathan
Hemmelgarn, Brenda R.
author_facet Tonelli, Marcello
Wiebe, Natasha
Manns, Braden J.
Klarenbach, Scott W.
James, Matthew T.
Ravani, Pietro
Pannu, Neesh
Himmelfarb, Jonathan
Hemmelgarn, Brenda R.
author_sort Tonelli, Marcello
collection PubMed
description IMPORTANCE: Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking. OBJECTIVE: To compare the complexity of patients seen by different types of physician in a universal health care system. DESIGN, SETTING, AND PARTICIPANTS: Population-based retrospective cohort study of 2 597 127 residents of the Canadian province of Alberta aged 18 years and older with at least 1 physician visit between April 1, 2014 and March 31, 2015. Data were analyzed in September 2018. EXPOSURES: Type of physician seeing each patient (family physician, general internist, or 11 types of medical subspecialist) assessed as non–mutually exclusive categories. MAIN OUTCOMES AND MEASURES: Nine markers of patient complexity (number of comorbidities, presence of mental illness, number of types of physicians involved in each patient’s care, number of physicians involved in each patient’s care, number of prescribed medications, number of emergency department visits, rate of death, rate of hospitalization, rate of placement in a long-term care facility). RESULTS: Among the 2 597 127 participants, the median (interquartile range) age was 46 (32-59) years and 54.1% were female. Over 1 year of follow-up, 21 792 patients (0.8%) died, the median (range) number of days spent in the hospital was 0 (0-365), 8.1% of patients had at least 1 hospitalization, and the median (interquartile range) number of prescribed medications was 3 (1-7). When the complexity markers were considered individually, patients seen by nephrologists had the highest mean number of comorbidities (4.2; 95% CI, 4.2-4.3 vs [lowest] 1.1; 95% CI, 1.0-1.1), highest mean number of prescribed medications (14.2; 95% CI, 14.2-14.3 vs [lowest] 4.9; 95% CI, 4.9-4.9), highest rate of death (6.6%; 95% CI, 6.3%-6.9% vs [lowest] 0.1%; 95% CI, <0.1%-0.2%), and highest rate of placement in a long-term care facility (2.0%; 95% CI, 1.8%-2.2% vs [lowest] <0.1%; 95% CI, <0.1%-0.1%). Patients seen by infectious disease specialists had the highest complexity as assessed by the other 5 markers: rate of a mental health condition (29%; 95% CI, 28%-29% vs [lowest] 14%; 95% CI, 14%-14%), mean number of physician types (5.5; 95% CI, 5.5-5.6 vs [lowest] 2.1; 95% CI, 2.1-2.1), mean number of physicians (13.0; 95% CI, 12.9-13.1 vs [lowest] 3.8; 95% CI, 3.8-3.8), mean days in hospital (15.0; 95% CI, 14.9-15.0 vs [lowest] 0.4; 95% CI, 0.4-0.4), and mean emergency department visits (2.6; 95% CI, 2.6-2.6 vs [lowest] 0.5; 95% CI, 0.5-0.5). When types of physician were ranked according to patient complexity across all 9 markers, the order from most to least complex was nephrologist, infectious disease specialist, neurologist, respirologist, hematologist, rheumatologist, gastroenterologist, cardiologist, general internist, endocrinologist, allergist/immunologist, dermatologist, and family physician. CONCLUSION AND RELEVANCE: Substantial differences were found in 9 different markers of patient complexity across different types of physician, including medical subspecialists, general internists, and family physicians. These findings have implications for medical education and health policy.
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spelling pubmed-63244212019-01-22 Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System Tonelli, Marcello Wiebe, Natasha Manns, Braden J. Klarenbach, Scott W. James, Matthew T. Ravani, Pietro Pannu, Neesh Himmelfarb, Jonathan Hemmelgarn, Brenda R. JAMA Netw Open Original Investigation IMPORTANCE: Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking. OBJECTIVE: To compare the complexity of patients seen by different types of physician in a universal health care system. DESIGN, SETTING, AND PARTICIPANTS: Population-based retrospective cohort study of 2 597 127 residents of the Canadian province of Alberta aged 18 years and older with at least 1 physician visit between April 1, 2014 and March 31, 2015. Data were analyzed in September 2018. EXPOSURES: Type of physician seeing each patient (family physician, general internist, or 11 types of medical subspecialist) assessed as non–mutually exclusive categories. MAIN OUTCOMES AND MEASURES: Nine markers of patient complexity (number of comorbidities, presence of mental illness, number of types of physicians involved in each patient’s care, number of physicians involved in each patient’s care, number of prescribed medications, number of emergency department visits, rate of death, rate of hospitalization, rate of placement in a long-term care facility). RESULTS: Among the 2 597 127 participants, the median (interquartile range) age was 46 (32-59) years and 54.1% were female. Over 1 year of follow-up, 21 792 patients (0.8%) died, the median (range) number of days spent in the hospital was 0 (0-365), 8.1% of patients had at least 1 hospitalization, and the median (interquartile range) number of prescribed medications was 3 (1-7). When the complexity markers were considered individually, patients seen by nephrologists had the highest mean number of comorbidities (4.2; 95% CI, 4.2-4.3 vs [lowest] 1.1; 95% CI, 1.0-1.1), highest mean number of prescribed medications (14.2; 95% CI, 14.2-14.3 vs [lowest] 4.9; 95% CI, 4.9-4.9), highest rate of death (6.6%; 95% CI, 6.3%-6.9% vs [lowest] 0.1%; 95% CI, <0.1%-0.2%), and highest rate of placement in a long-term care facility (2.0%; 95% CI, 1.8%-2.2% vs [lowest] <0.1%; 95% CI, <0.1%-0.1%). Patients seen by infectious disease specialists had the highest complexity as assessed by the other 5 markers: rate of a mental health condition (29%; 95% CI, 28%-29% vs [lowest] 14%; 95% CI, 14%-14%), mean number of physician types (5.5; 95% CI, 5.5-5.6 vs [lowest] 2.1; 95% CI, 2.1-2.1), mean number of physicians (13.0; 95% CI, 12.9-13.1 vs [lowest] 3.8; 95% CI, 3.8-3.8), mean days in hospital (15.0; 95% CI, 14.9-15.0 vs [lowest] 0.4; 95% CI, 0.4-0.4), and mean emergency department visits (2.6; 95% CI, 2.6-2.6 vs [lowest] 0.5; 95% CI, 0.5-0.5). When types of physician were ranked according to patient complexity across all 9 markers, the order from most to least complex was nephrologist, infectious disease specialist, neurologist, respirologist, hematologist, rheumatologist, gastroenterologist, cardiologist, general internist, endocrinologist, allergist/immunologist, dermatologist, and family physician. CONCLUSION AND RELEVANCE: Substantial differences were found in 9 different markers of patient complexity across different types of physician, including medical subspecialists, general internists, and family physicians. These findings have implications for medical education and health policy. American Medical Association 2018-11-30 /pmc/articles/PMC6324421/ /pubmed/30646392 http://dx.doi.org/10.1001/jamanetworkopen.2018.4852 Text en Copyright 2018 Tonelli M et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Tonelli, Marcello
Wiebe, Natasha
Manns, Braden J.
Klarenbach, Scott W.
James, Matthew T.
Ravani, Pietro
Pannu, Neesh
Himmelfarb, Jonathan
Hemmelgarn, Brenda R.
Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System
title Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System
title_full Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System
title_fullStr Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System
title_full_unstemmed Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System
title_short Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System
title_sort comparison of the complexity of patients seen by different medical subspecialists in a universal health care system
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324421/
https://www.ncbi.nlm.nih.gov/pubmed/30646392
http://dx.doi.org/10.1001/jamanetworkopen.2018.4852
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